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Which Pinecone use cases are gaining the most traction, and is there even distribution of growth across all applications?

Edo Liberty

Founder & CEO at Pinecone

Text search and semantic search specifically are very common, question answering, recommendation, deduplication, image search and image, again to de-duplication and recommendation. It's hard to say, also, because I don't know who the audience is, but even text search or semantic text search is not one thing. Texts like tweets and emails and receipts and Jira tickets are all text, and they're used in a different way, they mean different things. You search for them differently, you care about different things when you consume them. If you are building Twitter or building Atlassian or building Yahoo Mail, you have a lot of text, but you care about very different things. And all of them will be building on Pinecone in different ways.

Yes, they are big focus areas, but there's a huge variability within each one. Because again, every application ends up being something very different. And by the way, that’s why there’s a play for the horizontal platform, because it's very different. If I had to choose, if I had to build a kind of out-of-the-box semantic text solution, I would have to choose. Does it work for receipts or tweets or Jira tickets? And it can't do all of them, because you have to choose what relevance even means.

Find this answer in Edo Liberty, founder and CEO of Pinecone, on the companies indexed on OpenAI
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